SLIDE: automatic spine level identification system using a deep convolutional neural network.

Journal: International journal of computer assisted radiology and surgery
PMID: 28361323

Abstract

PURPOSE: Percutaneous spinal needle insertion procedures often require proper identification of the vertebral level to effectively and safely deliver analgesic agents. The current clinical method involves "blind" identification of the vertebral level through manual palpation of the spine, which has only 30% reported accuracy. Therefore, there is a need for better anatomical identification prior to needle insertion.

Authors

  • Jorden Hetherington
    Department of Electrical and Computer Engineering, The University of British Columbia, 2332 Main Mall, Vancouver, BC, V6T 1Z4, Canada. jordenh@ece.ubc.ca.
  • Victoria Lessoway
    Department of Ultrasound, BC Women's Hospital, 4500 Oak Street, Vancouver, BC, V6H 3N1, Canada.
  • Vit Gunka
    Department of Obstetric Anesthesia, BC Women's Hospital, 4500 Oak Street, Vancouver, BC, V6H 3N1, Canada.
  • Purang Abolmaesumi
  • Robert Rohling
    Department of Electrical and Computer Engineering, The University of British Columbia, 2332 Main Mall, Vancouver, BC, V6T 1Z4, Canada.

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